# chiragbiradar/DDoS-Attack-Detection-and-Mitigation

<https://repo.masters-masters.com/en/repos/chiragbiradar/DDoS-Attack-Detection-and-Mitigation>

[Home](https://repo.masters-masters.com/en) › [chiragbiradar](https://repo.masters-masters.com/en/owners/chiragbiradar) › [DDoS-Attack-Detection-and-Mitigation](https://repo.masters-masters.com/en/repos/chiragbiradar/DDoS-Attack-Detection-and-Mitigation)

chiragbiradar/DDoS-Attack-Detection-and-Mitigation has 230 stars on GitHub. Its RepoMasters card: Prototype tier. SDN networks (Software Defined Networking )…

| Field | Value |
| --- | --- |
| Owner | [chiragbiradar](https://repo.masters-masters.com/en/owners/chiragbiradar) |
| Stars | 230 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | sdn, knn-classification, machile-learning, mininet, networking, python, random-forest, ryu-controller, ryu-sdn-controller, sdn-controller |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [chiragbiradar/DDoS-Attack-Detection-and-Mitigation](https://github.com/chiragbiradar/DDoS-Attack-Detection-and-Mitigation) |

## Repository

SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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